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Remote Computer Science Research Assistant Jobs in Mississippi

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Remote Computer Science Research Assistant information

What is a remote computer science research assistant?

A Remote Computer Science Research Assistant is someone who supports computer science research projects from a remote location, typically via the internet. Their duties often include conducting literature reviews, collecting and analyzing data, developing code or algorithms, and assisting with the preparation of academic papers or presentations. This role requires strong technical skills, good communication, and the ability to work independently while collaborating with a research team online. Remote assistants may work for universities, research institutes, or private companies on topics such as artificial intelligence, cybersecurity, or software engineering.

What are the key skills and qualifications needed to thrive as a remote computer science research assistant?

To thrive as a Remote Computer Science Research Assistant, you need a solid background in computer science fundamentals, programming, and research methodology, often supported by progress toward or completion of a relevant degree. Familiarity with data analysis tools, programming languages like Python or Java, version control systems such as Git, and literature databases is typically required. Strong written communication, self-motivation, and time management skills help you excel when collaborating remotely and handling independent research tasks. These abilities are crucial for efficiently contributing to research projects, meeting deadlines, and maintaining productive collaboration from a remote environment.

What is the difference between Remote Computer Science Research Assistant vs Remote Data Analyst?

AspectRemote Computer Science Research AssistantRemote Data Analyst
Required CredentialsBachelor's or higher in Computer Science or related field; research experienceBachelor's or higher in Data Science, Statistics, or related field; analytical skills
Work EnvironmentAcademic or research institutions, labs, universitiesBusiness, finance, healthcare, or tech companies
Employer & Industry UsageUniversities, research centers, tech labsCorporations, consulting firms, data-driven industries
Common Search & ComparisonYesNo

The Remote Computer Science Research Assistant typically focuses on supporting academic or research projects in computer science, often involving experimental or theoretical work. In contrast, a Remote Data Analyst primarily analyzes data to inform business decisions. While both roles require strong analytical skills and related credentials, their work environments and industry applications differ significantly.

How do remote computer science research assistants typically collaborate with research teams when working from different locations?

Remote Computer Science Research Assistants generally use a mix of collaboration tools such as video conferencing, shared code repositories, and project management platforms to stay connected with their teams. Regular virtual meetings help align research goals, discuss progress, and resolve technical issues. Clear written communication is especially important in this setting, as documentation and asynchronous updates help ensure everyone is on the same page. Team members often share tasks such as data analysis, literature reviews, and experimental design, making collaboration a key part of daily responsibilities.
What are popular job titles related to Remote Computer Science Research Assistant jobs in Mississippi? For Remote Computer Science Research Assistant jobs in Mississippi, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Research Assistant jobs in Mississippi look for? The top searched job categories for Remote Computer Science Research Assistant jobs in Mississippi are:
What cities in Mississippi are hiring for Remote Computer Science Research Assistant jobs? Cities in Mississippi with the most Remote Computer Science Research Assistant job openings:
Remote Computer Science Research Assistant jobs near you

Research Scientist - National Center for Computational Hydroscience and Engineering (NCCHE)

University of Mississippi

Oxford, MS • On-site, Remote

Full-time

Posted 22 days ago

University Of Mississippi rating

7.9

Company rating: 7.9 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

205th of 614 rated colleges and universities

Job description

The University of Mississippi - fondly referred to as Ole Miss - stands as a premier public research institution with a proud legacy of academic distinction. We are devoted to nurturing a vibrant, inclusive community where every member - student, faculty, and staff - can achieve their fullest potential.

Job Summary:

This position focuses on developing and maintaining computational and geospatial technologies that support agricultural watershed science, water quality assessment, dam-break flood modeling, risk evaluation, and emergency planning. The role emphasizes building decision-support systems and web-based tools, managing large environmental datasets, and enabling data-driven environmental management through advanced modeling, software engineering, and GIS/remote sensing workflows.
It also includes supporting high-performance and Linux-based research computing environments, contributing to scientific communication (journal articles, technical reports, and conference presentations), and collaborating with interdisciplinary teams and stakeholders. In addition, the role supports grant proposal development and may include leading external research efforts.

Job Description:

Essential Duties/ Responsibilities:
  • Develop computational models, software tools, and web-based decision support systems for agricultural watershed processes, water quality assessment, dam-break flood modeling, risk assessment, and emergency planning.
  • Develop and maintain scientific software, geospatial applications, databases, and computational workflows using programming languages such as FORTRAN, C++, Python, R, and related technologies.
  • Design, develop, and maintain geospatial databases, web mapping applications, decision-support systems, and cloud- or cluster-based cyberinfrastructure to support environmental modeling, visualization, and data dissemination.
  • Manage and process large environmental and hydrologic datasets using GIS, remote sensing, spatial databases, and geospatial analysis tools.
  • Support high-performance computing, Linux-based research computing environments, automation workflows, and related computational infrastructure required for environmental modeling and data-intensive research.
  • Participate in and lead external research grant proposal development.
  • Participate in and lead peer-reviewed journal publications, technical reports, and scientific conference presentations.
  • Collaborate with interdisciplinary teams of scientists, engineers, and stakeholders to develop innovative solutions for water resources and environmental management challenges.

Job Responsibilities:

Preferred Experience, Knowledge, Skills & Abilities:
  • Experience in developing computational models, decision-support systems, and web-based tools for hydrologic, hydraulic, watershed, water quality, and environmental management.
  • Experience in scientific programming (e.g., FORTRAN, C++, Python, R), software development, computer systems, and computational infrastructure for environmental and geospatial applications..
  • Experience in geospatial analysis and environmental data management using GIS, remote sensing, spatial databases, and web-based geospatial technologies.
  • Experience with database design, administration, and optimization, including PostgreSQL/PostGIS and large-scale spatial data processing.
  • Experience in developing and deploying geospatial web services, map servers, and cloud- or cluster-based computing environments for environmental modeling and visualization.
  • Experience with Linux system administration, high-performance computing (HPC), virtualization, automation, and research computing infrastructure.
  • Excellent oral, written, and presentation skills (both technical and non-technical).
  • Experience in AIMS and/or DSS-WISE modeling and decision support systems is preferred.
Education:
  • Ph.D. in Computational Hydroscience and Engineering, or a closely related discipline. The PhD degree should be already received or about to be received at the end of the current semester.

* This position is fully or partially funded by external research grants. Continued employment is contingent upon satisfactory performance and the ongoing availability of funding.


** Applicants are requested to attach a Resume/CV with their application.

Education Qualifications:

PhD (Required)

Experience:

Interview Requirement:

Interview Requirements: Any candidate who is called for an interview must notify the Department of Equal Opportunity/Regulatory Compliance in writing of any reasonable accommodation needed prior to the date of the interview.

EEO Statement:

The University of Mississippi provides equal opportunity in any employment practice, education program, or education activity to all qualified persons. The University complies with all applicable laws regarding equal opportunity and does not unlawfully discriminate against any employee or applicant for employment based upon race, color, gender, sex, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ethnicity, citizenship, age, disability, military status, protected veteran status, genetic information, or any other legally protected status.

Background Check Statement:

The University of Mississippi is committed to providing a safe campus community. UM conducts background investigations for applicants being considered for employment. Background investigations include a criminal history record check, and when appropriate, a financial (credit) report or driving history check.

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